Data Analyst

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Gamdom is seeking a Data Analyst with strong technical skills to join our fast-paced data team. This role is ideal for someone who thrives at the intersection of analytics, engineering, and visualization. You'll bring hands-on experience in SQL, Snowflake, and dbt, along with business-facing skills in reporting, dashboard development (using Tableau), and data analysis to drive insights across the company.

The successful candidate will analyze existing reporting logic, collaborate with data engineers to design robust data models and data marts, and build scalable, high-impact Tableau dashboards. You will also support the transition of reports and dashboards to our new Snowflake environment and provide actionable insights to stakeholders across finance, CRM, marketing, and operations.

We’re looking for someone who is independent, proactive, and adaptable—comfortable managing their workload, collaborating across teams, and driving solutions forward with minimal supervision. The ideal candidate is passionate about analytics, confident in SQL and data modeling, and experienced in working alongside engineers and analysts to translate business needs into technical solutions.

Key Responsibilities

• Analyze SQL queries in Tableau and Snowflake datasets to extract key KPIs, metrics, and business logic.
• Collaborate with data engineers to build robust reporting data models and data marts in Snowflake.
• Act as a bridge between stakeholders and data engineering—gathering requirements, clarifying business definitions, and ensuring accurate metric implementation.
• Design, develop, and optimize Tableau dashboards aligned with business needs and performance standards.
• Support the migration of reports and dashboards to the new Snowflake environment.
• Conduct data analysis to generate actionable insights for finance, CRM, marketing, and operations teams.
• Clearly communicate new data models and metrics to BI and data analysts to ensure adoption and consistency.
• Provide support for ad hoc data analyses, reporting requests, and broader data initiatives.
• Contribute to data governance by documenting definitions, processes, and ensuring consistency across the organization.
• Assist in advanced analytics initiatives, such as fraud detection, customer segmentation, churn analysis, and performance tracking.

Required Skills & Competencies

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